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Integrative Analysis for Prediction of Process-Induced, Orientation-Dependent Tensile Properties in a Stochastic Prepreg Platelet Molded Composite
Composites Part A: Applied Science and Manufacturing ( IF 8.1 ) Pub Date : 2019-12-31 , DOI: 10.1016/j.compositesa.2019.105759
Drew E. Sommer , Sergii G. Kravchenko , Benjamin R. Denos , Anthony J. Favaloro , R. Byron Pipes

Prepreg platelet molded composite (PPMC) is derived from compression molded pieces of chopped unidirectional prepreg tape. The properties of a stochastic PPMC arise from the meso-structure that develops during processing. This paper describes an integrated methodology for analysis of stochastic PPMC to develop process-structure-property relationships. Flow-induced fiber orientation distributions were predicted using an anisotropic viscous constitutive model implemented in a nonlinear, explicit finite element (FE) solver. The predicted orientation state was validated by CT-based orientation measurements and optical microscopy. A computational framework for simulation of tensile property distributions of a stochastic PPMC by progressive failure analysis is presented. The probabilistic simulation results were statistically validated against experimental data. A FE analysis was developed with an explicitly modeled platelet meso-structure wherein the platelets are treated as a homogeneous orthotropic medium using continuum damage mechanics to model the intraplatelet failure and a cohesive zone model for interlaminar disbonding. Panels were molded using partial charge coverage to induce flow alignment of the fibers. Tensile coupons were excised from the molded panels both along (parallel) and transverse (perpendicular) to the preferential fiber direction to compare the composite effective properties with those reported in the literature for planar random orientation states. The composite tensile properties were found to be strongly dependent on the global orientation state.



中文翻译:

随机分析的预浸料片状模压复合材料中过程诱导的,取向相关的拉伸性能预测的综合分析

预浸料片状片状复合材料(PPMC)源自切碎的单向预浸料带的压塑件。随机PPMC的特性来自于在加工过程中形成的细观结构。本文介绍了一种用于分析随机PPMC的综合方法,以开发过程-结构-属性关系。使用在非线性显式有限元(FE)求解器中实现的各向异性粘性本构模型,预测了流动引起的纤维取向分布。预测的取向状态通过基于CT的取向测量和光学显微镜进行验证。提出了一种通过渐进式失效分析来模拟随机PPMC拉伸性能分布的计算框架。相对于实验数据,对概率模拟结果进行了统计验证。用明确建模的血小板介观结构开发了有限元分析,其中使用连续损伤机制模拟血小板内破坏和用于层间剥离的内聚区模型,将血小板视为均质的正交各向异性介质。使用部分电荷覆盖来模制面板,以引起纤维的流动对准​​。从模制板沿优选的纤维方向(平行)和横向(垂直)切下拉伸试样,以将复合材料的有效特性与文献中针对平面随机取向状态所报道的那些进行比较。发现复合材料的拉伸性能强烈依赖于整体取向状态。用明确建模的血小板介观结构开发了有限元分析,其中使用连续损伤机制模拟血小板内破坏和用于层间剥离的内聚区模型,将血小板视为均质的正交各向异性介质。使用部分电荷覆盖来模制面板,以引起纤维的流动对准​​。从模制板沿优选的纤维方向(平行)和横向(垂直)切下拉伸试样,以将复合材料的有效特性与文献中针对平面随机取向状态所报道的那些进行比较。发现复合材料的拉伸性能强烈依赖于整体取向状态。用明确建模的血小板介观结构开发了有限元分析,其中使用连续损伤机制模拟血小板内破坏和用于层间剥离的内聚区模型,将血小板视为均质的正交各向异性介质。使用部分电荷覆盖来模制面板,以引起纤维的流动对准​​。从模制板沿优选的纤维方向(平行)和横向(垂直)切下拉伸试样,以将复合材料的有效特性与文献中针对平面随机取向状态所报道的那些进行比较。发现复合材料的拉伸性能强烈依赖于整体取向状态。

更新日期:2019-12-31
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